Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:42:42.555526
Analysis finished2020-08-25 00:43:43.098498
Duration1 minute and 0.54 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.6382040232419967e-09
Minimum-1.7065727710723877
Maximum1.759835720062256
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:43.149014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.706572771
5-th percentile-1.563388979
Q1-0.8328773826
median0.01286428608
Q30.8940310925
95-th percentile1.487084889
Maximum1.75983572
Range3.466408491
Interquartile range (IQR)1.726908475

Descriptive statistics

Standard deviation0.9999999985
Coefficient of variation (CV)-379045740.9
Kurtosis-1.225672072
Mean-2.638204023e-09
Median Absolute Deviation (MAD)0.8690061625
Skewness-0.02196486273
Sum-1.319102012e-06
Variance0.999999997
2020-08-25T00:43:43.259200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.753904759910.2%
 
-0.101419687310.2%
 
-0.182202994810.2%
 
-1.39512848910.2%
 
-1.24864637910.2%
 
-0.422025620910.2%
 
-1.44982278310.2%
 
-0.524717807810.2%
 
1.42375457310.2%
 
-0.326766729410.2%
 
0.0537883266810.2%
 
-0.00725799333310.2%
 
-0.2337968210.2%
 
1.20961344210.2%
 
1.46352231510.2%
 
-0.494788527510.2%
 
1.12765634110.2%
 
-0.513890504810.2%
 
1.15103721610.2%
 
-1.31900823110.2%
 
-1.44011235210.2%
 
-1.42191374310.2%
 
-1.59050965310.2%
 
-0.763019740610.2%
 
1.10224258910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.70657277110.2%
 
-1.70404803810.2%
 
-1.69907748710.2%
 
-1.6652594810.2%
 
-1.66231203110.2%
 
-1.66205835310.2%
 
-1.65205180610.2%
 
-1.6402405510.2%
 
-1.63749325310.2%
 
-1.62585842610.2%
 
ValueCountFrequency (%) 
1.7598357210.2%
 
1.75228595710.2%
 
1.71808886510.2%
 
1.69778966910.2%
 
1.6940294510.2%
 
1.69074082410.2%
 
1.68968272210.2%
 
1.68727099910.2%
 
1.67451512810.2%
 
1.67228233810.2%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.707850825904415e-10
Minimum-1.6898515224456787
Maximum1.6467761993408203
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:43.374679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.689851522
5-th percentile-1.450266767
Q1-0.8671015054
median-0.04860697314
Q30.9010479152
95-th percentile1.535370296
Maximum1.646776199
Range3.336627722
Interquartile range (IQR)1.768149421

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)-1490790456
Kurtosis-1.303990105
Mean-6.707850826e-10
Median Absolute Deviation (MAD)0.8952162676
Skewness0.03684073307
Sum-3.353925413e-07
Variance0.9999999981
2020-08-25T00:43:43.648388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.00959515610.2%
 
1.31123566610.2%
 
0.631167650210.2%
 
-1.44741535210.2%
 
-0.462560951710.2%
 
1.37954497310.2%
 
1.29165768610.2%
 
0.667576432210.2%
 
1.26432371110.2%
 
1.59245324110.2%
 
0.742518544210.2%
 
1.61395025310.2%
 
0.670259058510.2%
 
-1.62507450610.2%
 
1.23115658810.2%
 
1.15498757410.2%
 
-0.559412598610.2%
 
0.289235830310.2%
 
1.29171240310.2%
 
-0.154628783510.2%
 
-1.15388023910.2%
 
-0.802505850810.2%
 
-0.174161195810.2%
 
0.413264632210.2%
 
1.44459426410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68985152210.2%
 
-1.68898558610.2%
 
-1.68785905810.2%
 
-1.68115103210.2%
 
-1.67839646310.2%
 
-1.67089641110.2%
 
-1.66094839610.2%
 
-1.64779663110.2%
 
-1.64643180410.2%
 
-1.63028287910.2%
 
ValueCountFrequency (%) 
1.64677619910.2%
 
1.6449217810.2%
 
1.64073967910.2%
 
1.64011776410.2%
 
1.63253784210.2%
 
1.62923514810.2%
 
1.62292599710.2%
 
1.61395025310.2%
 
1.6136581910.2%
 
1.60910260710.2%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3452954590320586e-09
Minimum-1.7467998266220093
Maximum1.7355153560638428
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:43.773321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.746799827
5-th percentile-1.546895647
Q1-0.8606702834
median-0.0005862918915
Q30.8502431512
95-th percentile1.570330423
Maximum1.735515356
Range3.482315183
Interquartile range (IQR)1.710913435

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)743331135.8
Kurtosis-1.183990183
Mean1.345295459e-09
Median Absolute Deviation (MAD)0.8552875725
Skewness-0.01170732383
Sum6.726477295e-07
Variance1.000000003
2020-08-25T00:43:43.880001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.58984744510.2%
 
-1.74679982710.2%
 
0.997397899610.2%
 
0.0150808151810.2%
 
0.130942225510.2%
 
0.231455117510.2%
 
0.461593657710.2%
 
-0.774751067210.2%
 
-0.799165844910.2%
 
0.956395685710.2%
 
0.395680755410.2%
 
-0.155604496610.2%
 
1.725305210.2%
 
0.631211042410.2%
 
-0.647813618210.2%
 
-1.70969331310.2%
 
-0.744528114810.2%
 
0.164938449910.2%
 
-0.0239979717910.2%
 
0.853873252910.2%
 
-1.66868865510.2%
 
0.41668486610.2%
 
0.814815998110.2%
 
-1.44604337210.2%
 
1.0037343510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74679982710.2%
 
-1.74464464210.2%
 
-1.73471164710.2%
 
-1.72850298910.2%
 
-1.72783899310.2%
 
-1.72698557410.2%
 
-1.72211790110.2%
 
-1.71886491810.2%
 
-1.70969331310.2%
 
-1.70897281210.2%
 
ValueCountFrequency (%) 
1.73551535610.2%
 
1.725305210.2%
 
1.69326090810.2%
 
1.67126202610.2%
 
1.66835725310.2%
 
1.66589844210.2%
 
1.66508901110.2%
 
1.65878021710.2%
 
1.65514004210.2%
 
1.65500402510.2%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.1478703022003176e-10
Minimum-1.7584445476531982
Maximum1.7594970464706419
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:43.997911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.758444548
5-th percentile-1.58260929
Q1-0.8477962613
median0.03925464302
Q30.8625299484
95-th percentile1.552316302
Maximum1.759497046
Range3.517941594
Interquartile range (IQR)1.71032621

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-3176750960
Kurtosis-1.179210471
Mean-3.147870302e-10
Median Absolute Deviation (MAD)0.8628020883
Skewness0.001999341668
Sum-1.573935151e-07
Variance1.000000001
2020-08-25T00:43:44.103231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.356932222810.2%
 
-0.847986161710.2%
 
0.763983190110.2%
 
-0.402570873510.2%
 
0.0420350059910.2%
 
0.500314772110.2%
 
-1.75844454810.2%
 
-0.0595505014110.2%
 
-1.39694571510.2%
 
-0.94172495610.2%
 
1.38229429710.2%
 
0.4136931310.2%
 
1.22330284110.2%
 
-0.514976441910.2%
 
1.4176702510.2%
 
0.792326629210.2%
 
-0.785677075410.2%
 
-0.210592597710.2%
 
0.597994446810.2%
 
1.4752885110.2%
 
1.70771300810.2%
 
1.33466756310.2%
 
0.53550225510.2%
 
-1.34200835210.2%
 
0.310419976710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.75844454810.2%
 
-1.73961305610.2%
 
-1.73621225410.2%
 
-1.71229636710.2%
 
-1.70337164410.2%
 
-1.69056975810.2%
 
-1.6803432710.2%
 
-1.67532801610.2%
 
-1.67518925710.2%
 
-1.67403960210.2%
 
ValueCountFrequency (%) 
1.75949704610.2%
 
1.758925210.2%
 
1.74773371210.2%
 
1.74113655110.2%
 
1.73860895610.2%
 
1.73389375210.2%
 
1.71554410510.2%
 
1.7101656210.2%
 
1.70771300810.2%
 
1.68406641510.2%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.079192876815796e-10
Minimum-1.877640962600708
Maximum1.7262552976608276
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:44.217735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.877640963
5-th percentile-1.673653239
Q1-0.7660623938
median0.02081746981
Q30.8239089698
95-th percentile1.560389811
Maximum1.726255298
Range3.60389626
Interquartile range (IQR)1.589971364

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)-2451465351
Kurtosis-1.024505936
Mean-4.079192877e-10
Median Absolute Deviation (MAD)0.7981507368
Skewness-0.06839032887
Sum-2.039596438e-07
Variance0.9999999992
2020-08-25T00:43:44.321988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.236572176210.2%
 
0.164339229510.2%
 
-0.554016232510.2%
 
-0.33023250110.2%
 
-0.374977976110.2%
 
1.18494319910.2%
 
-1.34242093610.2%
 
-1.73890817210.2%
 
1.33461654210.2%
 
-1.25950455710.2%
 
-1.14712500610.2%
 
-1.73111236110.2%
 
0.0731847360710.2%
 
-0.401042610410.2%
 
-1.31901621810.2%
 
1.63542807110.2%
 
-0.316592186710.2%
 
1.68035674110.2%
 
0.423687547410.2%
 
0.200523853310.2%
 
-0.100750267510.2%
 
-0.985985815510.2%
 
-1.87764096310.2%
 
0.63902103910.2%
 
-1.02609324510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.87764096310.2%
 
-1.86612880210.2%
 
-1.8616892110.2%
 
-1.85911607710.2%
 
-1.84075689310.2%
 
-1.82845675910.2%
 
-1.82297837710.2%
 
-1.8113104110.2%
 
-1.80060613210.2%
 
-1.79570007310.2%
 
ValueCountFrequency (%) 
1.72625529810.2%
 
1.72164118310.2%
 
1.72113370910.2%
 
1.71754908610.2%
 
1.70529949710.2%
 
1.69999468310.2%
 
1.69539296610.2%
 
1.68473470210.2%
 
1.68035674110.2%
 
1.66575610610.2%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.089414581656456e-09
Minimum-1.6771421432495115
Maximum1.782203197479248
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:44.440927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.677142143
5-th percentile-1.523961967
Q1-0.8603952676
median-0.07258564606
Q30.8458669931
95-th percentile1.569613874
Maximum1.782203197
Range3.459345341
Interquartile range (IQR)1.706262261

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)-917924192
Kurtosis-1.221502934
Mean-1.089414582e-09
Median Absolute Deviation (MAD)0.8612751327
Skewness0.07049800964
Sum-5.447072908e-07
Variance0.9999999991
2020-08-25T00:43:44.543227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.04323720910.2%
 
1.27798569210.2%
 
-1.52793216710.2%
 
-1.67714214310.2%
 
-1.36388385310.2%
 
0.0606267526710.2%
 
-1.09704828310.2%
 
-0.237869054110.2%
 
0.225509092210.2%
 
0.0699695572310.2%
 
1.05992031110.2%
 
1.16469216310.2%
 
0.116768881710.2%
 
0.142642065910.2%
 
-1.13022220110.2%
 
0.230810299510.2%
 
-1.53782844510.2%
 
1.5846303710.2%
 
-0.195149764410.2%
 
-1.09831297410.2%
 
-0.434735387610.2%
 
-0.615566611310.2%
 
-0.882178962210.2%
 
-0.00787894800310.2%
 
-1.66671454910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.67714214310.2%
 
-1.66671454910.2%
 
-1.66454815910.2%
 
-1.66312539610.2%
 
-1.65954208410.2%
 
-1.65852379810.2%
 
-1.64683747310.2%
 
-1.6286815410.2%
 
-1.62840628610.2%
 
-1.61218929310.2%
 
ValueCountFrequency (%) 
1.78220319710.2%
 
1.75353050210.2%
 
1.75134575410.2%
 
1.74849927410.2%
 
1.74063086510.2%
 
1.73955059110.2%
 
1.72027063410.2%
 
1.71138942210.2%
 
1.70906674910.2%
 
1.70846569510.2%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.698522388935089e-10
Minimum-1.6826629638671875
Maximum1.7735446691513062
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:44.656122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.682662964
5-th percentile-1.557073849
Q1-0.8460479528
median-0.01433497714
Q30.8365568966
95-th percentile1.606578702
Maximum1.773544669
Range3.456207633
Interquartile range (IQR)1.682604849

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)2128328692
Kurtosis-1.162874647
Mean4.698522389e-10
Median Absolute Deviation (MAD)0.8434931929
Skewness0.06798190694
Sum2.349261194e-07
Variance1.000000002
2020-08-25T00:43:44.769379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.51672232210.2%
 
-1.17258071910.2%
 
1.06378531510.2%
 
1.2741084110.2%
 
0.487961649910.2%
 
-0.397933661910.2%
 
1.40888178310.2%
 
0.497728973610.2%
 
1.40888559810.2%
 
0.298999577810.2%
 
1.00842344810.2%
 
0.758158385810.2%
 
-0.589213907710.2%
 
1.69656658210.2%
 
-1.21945524210.2%
 
-0.460370093610.2%
 
1.35430145310.2%
 
0.840199649310.2%
 
-0.177823796910.2%
 
-1.43626463410.2%
 
0.761169612410.2%
 
-0.805491983910.2%
 
-0.37224045410.2%
 
-1.49487125910.2%
 
-0.741579413410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68266296410.2%
 
-1.68132841610.2%
 
-1.66747081310.2%
 
-1.66704380510.2%
 
-1.65715634810.2%
 
-1.63809597510.2%
 
-1.62308609510.2%
 
-1.61425256710.2%
 
-1.61272072810.2%
 
-1.5978975310.2%
 
ValueCountFrequency (%) 
1.77354466910.2%
 
1.76713955410.2%
 
1.75908672810.2%
 
1.73350870610.2%
 
1.73015427610.2%
 
1.72857189210.2%
 
1.72040271810.2%
 
1.71705615510.2%
 
1.7125521910.2%
 
1.70193493410.2%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.278938725590706e-09
Minimum-1.715751886367798
Maximum1.784304141998291
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:44.885069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.715751886
5-th percentile-1.538569331
Q1-0.8554950356
median0.0588472113
Q30.8813748509
95-th percentile1.563188434
Maximum1.784304142
Range3.500056028
Interquartile range (IQR)1.736869887

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-781898289.4
Kurtosis-1.184558901
Mean-1.278938726e-09
Median Absolute Deviation (MAD)0.8823302388
Skewness-0.02537880646
Sum-6.394693628e-07
Variance1.000000004
2020-08-25T00:43:44.992613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.19921815410.2%
 
1.56921887410.2%
 
-0.832353770710.2%
 
-1.2662717110.2%
 
0.136311605610.2%
 
0.429036378910.2%
 
-1.34440255210.2%
 
-0.390461415110.2%
 
1.08631360510.2%
 
0.28043860210.2%
 
1.22355425410.2%
 
-1.23700869110.2%
 
-0.671541631210.2%
 
-1.47139298910.2%
 
-0.351735472710.2%
 
-0.141688510810.2%
 
-0.496276944910.2%
 
-1.39268219510.2%
 
1.73116803210.2%
 
0.783554315610.2%
 
0.633165538310.2%
 
-0.533557176610.2%
 
0.249588683210.2%
 
-0.27508020410.2%
 
-0.236417427710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71575188610.2%
 
-1.71533489210.2%
 
-1.70551395410.2%
 
-1.70354270910.2%
 
-1.69528543910.2%
 
-1.69065809210.2%
 
-1.68636763110.2%
 
-1.65838670710.2%
 
-1.6500431310.2%
 
-1.63856363310.2%
 
ValueCountFrequency (%) 
1.78430414210.2%
 
1.7688286310.2%
 
1.75474870210.2%
 
1.74593210210.2%
 
1.7406059510.2%
 
1.7368686210.2%
 
1.73545420210.2%
 
1.73116803210.2%
 
1.71842229410.2%
 
1.71616315810.2%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.146728992462158e-11
Minimum-1.7163165807724
Maximum1.7570295333862305
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:45.108576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.716316581
5-th percentile-1.5668172
Q1-0.8576498181
median-0.04146533832
Q30.8679838628
95-th percentile1.596556967
Maximum1.757029533
Range3.473346114
Interquartile range (IQR)1.725633681

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)1.62688155e+10
Kurtosis-1.179542097
Mean6.146728992e-11
Median Absolute Deviation (MAD)0.8602365255
Skewness0.04586895397
Sum3.073364496e-08
Variance0.9999999979
2020-08-25T00:43:45.213251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.942380011110.2%
 
0.974599301810.2%
 
-1.15566456310.2%
 
1.53851020310.2%
 
1.59629154210.2%
 
-0.870571672910.2%
 
-0.14265260110.2%
 
1.30528736110.2%
 
-0.990910291710.2%
 
0.357091724910.2%
 
-0.420258462410.2%
 
0.617494583110.2%
 
0.817697167410.2%
 
1.75702953310.2%
 
1.73695814610.2%
 
-0.854812920110.2%
 
-1.44601643110.2%
 
-1.54653382310.2%
 
0.050313141210.2%
 
-0.0620929263510.2%
 
-1.30259692710.2%
 
1.19011068310.2%
 
-0.834314465510.2%
 
1.59447050110.2%
 
-1.29560184510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71631658110.2%
 
-1.71101450910.2%
 
-1.70953333410.2%
 
-1.70904445610.2%
 
-1.70135855710.2%
 
-1.70131897910.2%
 
-1.698363910.2%
 
-1.68879854710.2%
 
-1.68728065510.2%
 
-1.68593013310.2%
 
ValueCountFrequency (%) 
1.75702953310.2%
 
1.74350082910.2%
 
1.73695814610.2%
 
1.73227298310.2%
 
1.73179125810.2%
 
1.72411096110.2%
 
1.69315493110.2%
 
1.69226825210.2%
 
1.68993139310.2%
 
1.68843591210.2%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.209578055025531e-10
Minimum-1.7153384685516355
Maximum1.718899488449097
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:45.331084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.715338469
5-th percentile-1.566395152
Q1-0.8928519189
median0.003917035414
Q30.815768972
95-th percentile1.577162802
Maximum1.718899488
Range3.434237957
Interquartile range (IQR)1.708620891

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)-2375534996
Kurtosis-1.185923005
Mean-4.209578055e-10
Median Absolute Deviation (MAD)0.868196547
Skewness0.04834904428
Sum-2.104789028e-07
Variance0.9999999978
2020-08-25T00:43:45.434654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.5230410110.2%
 
-0.898473322410.2%
 
-0.949271798110.2%
 
-0.962644100210.2%
 
-1.59435331810.2%
 
-0.245925456310.2%
 
0.458225607910.2%
 
-1.60803997510.2%
 
1.353995810.2%
 
-0.863591790210.2%
 
-0.806953132210.2%
 
0.956209957610.2%
 
1.54165625610.2%
 
0.283851951410.2%
 
0.275063306110.2%
 
0.71686124810.2%
 
1.57951724510.2%
 
-0.0216776356110.2%
 
1.1510441310.2%
 
-1.0436246410.2%
 
1.34636175610.2%
 
-0.323076456810.2%
 
-0.24697284410.2%
 
0.958037614810.2%
 
0.754243731510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71533846910.2%
 
-1.70341336710.2%
 
-1.67940866910.2%
 
-1.67075419410.2%
 
-1.66694951110.2%
 
-1.65919756910.2%
 
-1.65727758410.2%
 
-1.64922213610.2%
 
-1.64494085310.2%
 
-1.64019024410.2%
 
ValueCountFrequency (%) 
1.71889948810.2%
 
1.70568132410.2%
 
1.70541310310.2%
 
1.70281636710.2%
 
1.69959402110.2%
 
1.68333792710.2%
 
1.67036342610.2%
 
1.66241574310.2%
 
1.66152048110.2%
 
1.66046774410.2%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4214386940002442e-09
Minimum-1.8579455614089968
Maximum1.6268229484558103
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:45.546180image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.857945561
5-th percentile-1.639905638
Q1-0.8562174141
median0.05418033153
Q30.8816096187
95-th percentile1.469105881
Maximum1.626822948
Range3.48476851
Interquartile range (IQR)1.737827033

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)412977625.1
Kurtosis-1.145990395
Mean2.421438694e-09
Median Absolute Deviation (MAD)0.8552544117
Skewness-0.1450235014
Sum1.210719347e-06
Variance1.000000002
2020-08-25T00:43:45.649846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.797851026110.2%
 
0.35677224410.2%
 
-1.50842142110.2%
 
0.27505502110.2%
 
0.00548792816710.2%
 
-0.198807790910.2%
 
-0.134275019210.2%
 
0.04968980710.2%
 
-0.154375255110.2%
 
-0.405593216410.2%
 
-0.996409952610.2%
 
0.724246442310.2%
 
0.600380718710.2%
 
1.40951359310.2%
 
-1.83267569510.2%
 
-0.490396618810.2%
 
0.602895677110.2%
 
-1.24493515510.2%
 
0.176205173110.2%
 
1.25261795510.2%
 
-0.515958666810.2%
 
1.61455786210.2%
 
0.0118049932610.2%
 
-1.7877916110.2%
 
0.373220413910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.85794556110.2%
 
-1.83990967310.2%
 
-1.83295905610.2%
 
-1.83267569510.2%
 
-1.83054280310.2%
 
-1.82741451310.2%
 
-1.82668685910.2%
 
-1.79318296910.2%
 
-1.7877916110.2%
 
-1.78329455910.2%
 
ValueCountFrequency (%) 
1.62682294810.2%
 
1.62345683610.2%
 
1.61455786210.2%
 
1.60769653310.2%
 
1.60755169410.2%
 
1.60719549710.2%
 
1.6002101910.2%
 
1.60010302110.2%
 
1.59113168710.2%
 
1.58016455210.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7690472304821014e-09
Minimum-1.8171144723892207
Maximum1.7122951745986938
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:45.772508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.817114472
5-th percentile-1.586763191
Q1-0.8433194458
median0.03648947086
Q30.8288412541
95-th percentile1.534404379
Maximum1.712295175
Range3.529409647
Interquartile range (IQR)1.6721607

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)565276033.3
Kurtosis-1.141716219
Mean1.76904723e-09
Median Absolute Deviation (MAD)0.8565763971
Skewness-0.03738144786
Sum8.845236152e-07
Variance1.000000002
2020-08-25T00:43:45.878441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.550779759910.2%
 
-0.346012830710.2%
 
-0.776701629210.2%
 
0.501312017410.2%
 
-1.78974270810.2%
 
-0.874950468510.2%
 
-1.38883137710.2%
 
-0.547218084310.2%
 
1.22035551110.2%
 
-0.478688687110.2%
 
-0.264413118410.2%
 
-0.621507167810.2%
 
-0.40691441310.2%
 
0.202236816310.2%
 
0.147305682310.2%
 
-0.842154681710.2%
 
0.384959638110.2%
 
-1.21607577810.2%
 
-1.10014641310.2%
 
0.513738930210.2%
 
0.360047221210.2%
 
-1.44066870210.2%
 
-1.41480255110.2%
 
-1.2902731910.2%
 
-1.54847276210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.81711447210.2%
 
-1.80872774110.2%
 
-1.8039503110.2%
 
-1.80170524110.2%
 
-1.79728078810.2%
 
-1.78974270810.2%
 
-1.78579235110.2%
 
-1.7734992510.2%
 
-1.77013814410.2%
 
-1.76991212410.2%
 
ValueCountFrequency (%) 
1.71229517510.2%
 
1.69962084310.2%
 
1.68908131110.2%
 
1.68603014910.2%
 
1.68421626110.2%
 
1.67737495910.2%
 
1.67140579210.2%
 
1.66946911810.2%
 
1.66496336510.2%
 
1.66220152410.2%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5697441959616754e-09
Minimum-1.7244805097579956
Maximum1.6744748353958132
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:45.994345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.72448051
5-th percentile-1.574785447
Q1-0.8390894085
median0.008981960011
Q30.9000249952
95-th percentile1.54411453
Maximum1.674474835
Range3.398955345
Interquartile range (IQR)1.739114404

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-637046470.8
Kurtosis-1.185234922
Mean-1.569744196e-09
Median Absolute Deviation (MAD)0.8835038414
Skewness-0.003101038738
Sum-7.84872098e-07
Variance1
2020-08-25T00:43:46.102300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.11522698410.2%
 
1.05206668410.2%
 
0.693672001410.2%
 
1.28773987310.2%
 
-0.574535846710.2%
 
1.47592663810.2%
 
-0.136554524310.2%
 
1.59439337310.2%
 
1.67447483510.2%
 
1.36588215810.2%
 
0.188313886510.2%
 
-0.651692807710.2%
 
0.375651508610.2%
 
0.193174526110.2%
 
-1.7213656910.2%
 
0.361008107710.2%
 
0.718143522710.2%
 
-1.61591196110.2%
 
1.4153304110.2%
 
0.354175925310.2%
 
-0.785502016510.2%
 
-0.529645502610.2%
 
-0.928360879410.2%
 
-0.0994096994410.2%
 
1.3190747510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7244805110.2%
 
-1.72184145510.2%
 
-1.7213656910.2%
 
-1.72085022910.2%
 
-1.71979856510.2%
 
-1.71490156710.2%
 
-1.70830440510.2%
 
-1.69360172710.2%
 
-1.6919068110.2%
 
-1.68446230910.2%
 
ValueCountFrequency (%) 
1.67447483510.2%
 
1.66441059110.2%
 
1.6570204510.2%
 
1.65463364110.2%
 
1.6515959510.2%
 
1.64818322710.2%
 
1.64502954510.2%
 
1.64297044310.2%
 
1.64085125910.2%
 
1.63980054910.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.185573637485504e-09
Minimum-1.702022910118103
Maximum1.7864446640014648
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:46.216952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.70202291
5-th percentile-1.546049702
Q1-0.8321429193
median-0.0350175947
Q30.8134491742
95-th percentile1.617107159
Maximum1.786444664
Range3.488467574
Interquartile range (IQR)1.645592093

Descriptive statistics

Standard deviation0.9999999992
Coefficient of variation (CV)-843473545.2
Kurtosis-1.166709826
Mean-1.185573637e-09
Median Absolute Deviation (MAD)0.8275452107
Skewness0.1040733645
Sum-5.927868187e-07
Variance0.9999999983
2020-08-25T00:43:46.323388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.4277230510.2%
 
1.24236774410.2%
 
-0.564758896810.2%
 
-1.33290123910.2%
 
-1.54749000110.2%
 
1.35803842510.2%
 
-0.0457348115710.2%
 
-0.812813043610.2%
 
-0.576486349110.2%
 
-0.540388166910.2%
 
-1.02602660710.2%
 
-0.378089636610.2%
 
1.41080498710.2%
 
0.450846910510.2%
 
1.36784374710.2%
 
-0.39680716410.2%
 
-0.0222892165210.2%
 
-0.0657155811810.2%
 
-1.22723364810.2%
 
-1.12918388810.2%
 
1.52997744110.2%
 
-0.900733053710.2%
 
-0.986671984210.2%
 
-0.858340978610.2%
 
-1.11788237110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7020229110.2%
 
-1.69329488310.2%
 
-1.68440961810.2%
 
-1.68160748510.2%
 
-1.68153369410.2%
 
-1.68062174310.2%
 
-1.63236844510.2%
 
-1.62127959710.2%
 
-1.62022364110.2%
 
-1.61961460110.2%
 
ValueCountFrequency (%) 
1.78644466410.2%
 
1.78510630110.2%
 
1.77624404410.2%
 
1.77262079710.2%
 
1.77239143810.2%
 
1.77083325410.2%
 
1.7647942310.2%
 
1.76094734710.2%
 
1.76066064810.2%
 
1.75270044810.2%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.590473735963883e-09
Minimum-1.710773229598999
Maximum1.701056718826294
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:46.438207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.71077323
5-th percentile-1.538068861
Q1-0.832813248
median-0.02586429752
Q30.8623203635
95-th percentile1.518312359
Maximum1.701056719
Range3.411829948
Interquartile range (IQR)1.695133612

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)386029778.2
Kurtosis-1.260072635
Mean2.590473736e-09
Median Absolute Deviation (MAD)0.8661198318
Skewness-0.02034465896
Sum1.295236868e-06
Variance1.000000003
2020-08-25T00:43:46.697764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.999998152310.2%
 
-0.478883594310.2%
 
-0.18318805110.2%
 
-1.35027146310.2%
 
1.69464850410.2%
 
-1.35808920910.2%
 
1.14715218510.2%
 
0.00395511137310.2%
 
-1.21357214510.2%
 
0.996436834310.2%
 
-1.10843610810.2%
 
0.521837055710.2%
 
-0.286311030410.2%
 
0.00254962430310.2%
 
0.56628519310.2%
 
1.25853931910.2%
 
-0.413771957210.2%
 
1.6042475710.2%
 
1.54956114310.2%
 
-1.53784382310.2%
 
0.799196898910.2%
 
1.51523910.2%
 
1.49962151110.2%
 
-0.115938566610.2%
 
0.712586939310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7107732310.2%
 
-1.70981848210.2%
 
-1.69959688210.2%
 
-1.69891679310.2%
 
-1.6830028310.2%
 
-1.67514419610.2%
 
-1.67327940510.2%
 
-1.66910767610.2%
 
-1.66166400910.2%
 
-1.65991747410.2%
 
ValueCountFrequency (%) 
1.70105671910.2%
 
1.69464850410.2%
 
1.69362282810.2%
 
1.6782145510.2%
 
1.6728534710.2%
 
1.66848814510.2%
 
1.65192925910.2%
 
1.64169442710.2%
 
1.62183809310.2%
 
1.6113455310.2%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.922950994223356e-10
Minimum-1.7830027341842651
Maximum1.7191647291183472
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:46.819982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.783002734
5-th percentile-1.603087199
Q1-0.8703774661
median0.06444734521
Q30.8159002811
95-th percentile1.572870433
Maximum1.719164729
Range3.502167463
Interquartile range (IQR)1.686277747

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-1007764730
Kurtosis-1.146780173
Mean-9.922950994e-10
Median Absolute Deviation (MAD)0.8331823051
Skewness-0.04558275899
Sum-4.961475497e-07
Variance1.000000006
2020-08-25T00:43:46.923096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.829101264510.2%
 
0.575059771510.2%
 
-0.610050857110.2%
 
-0.574523150910.2%
 
-0.228349417410.2%
 
1.49867498910.2%
 
0.791331112410.2%
 
-1.56703925110.2%
 
1.22719824310.2%
 
-1.73110628110.2%
 
-1.17447173610.2%
 
1.54751944510.2%
 
-0.375512808610.2%
 
-1.07096338310.2%
 
1.69195985810.2%
 
0.456973046110.2%
 
0.861694395510.2%
 
0.541346609610.2%
 
0.124797567710.2%
 
-1.58856666110.2%
 
-0.397245645510.2%
 
1.54952061210.2%
 
-0.959332346910.2%
 
0.153896763910.2%
 
1.01491749310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.78300273410.2%
 
-1.77167534810.2%
 
-1.75657033910.2%
 
-1.7539439210.2%
 
-1.75278699410.2%
 
-1.73983848110.2%
 
-1.73756432510.2%
 
-1.73110628110.2%
 
-1.71219325110.2%
 
-1.70644664810.2%
 
ValueCountFrequency (%) 
1.71916472910.2%
 
1.71780669710.2%
 
1.71262288110.2%
 
1.70687162910.2%
 
1.69727170510.2%
 
1.69195985810.2%
 
1.6904565110.2%
 
1.67729735410.2%
 
1.67442405210.2%
 
1.67402744310.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.897630661725999e-10
Minimum-1.7945061922073364
Maximum1.7950692176818848
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:47.038997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.794506192
5-th percentile-1.583755064
Q1-0.8397654891
median-0.001522982842
Q30.8209320456
95-th percentile1.623846251
Maximum1.795069218
Range3.58957541
Interquartile range (IQR)1.660697535

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)-1010342817
Kurtosis-1.057719703
Mean-9.897630662e-10
Median Absolute Deviation (MAD)0.8330978453
Skewness0.02817784792
Sum-4.948815331e-07
Variance1.000000009
2020-08-25T00:43:47.144083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.755857765710.2%
 
-0.809917509610.2%
 
-0.148580431910.2%
 
-1.504543910.2%
 
0.855790257510.2%
 
0.581381559410.2%
 
-1.74089622510.2%
 
0.0155691709410.2%
 
0.453934371510.2%
 
-1.04034197310.2%
 
-0.448899835310.2%
 
-0.631529033210.2%
 
0.173425257210.2%
 
-1.01631665210.2%
 
1.63155221910.2%
 
-0.18783183410.2%
 
-0.285832226310.2%
 
-0.780918002110.2%
 
0.187588408610.2%
 
-1.73118174110.2%
 
0.881217420110.2%
 
-0.72473043210.2%
 
0.0149134760710.2%
 
-1.1140048510.2%
 
-0.152022600210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.79450619210.2%
 
-1.79403066610.2%
 
-1.79144012910.2%
 
-1.7912801510.2%
 
-1.78597962910.2%
 
-1.78107941210.2%
 
-1.77912032610.2%
 
-1.76945519410.2%
 
-1.76227104710.2%
 
-1.76225173510.2%
 
ValueCountFrequency (%) 
1.79506921810.2%
 
1.79379332110.2%
 
1.78638422510.2%
 
1.78354358710.2%
 
1.77967929810.2%
 
1.77917540110.2%
 
1.76858210610.2%
 
1.76534485810.2%
 
1.75010347410.2%
 
1.74862122510.2%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6352860257029534e-09
Minimum-1.7251745462417605
Maximum1.7530683279037476
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:47.265326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.725174546
5-th percentile-1.535152256
Q1-0.906227231
median0.01432276843
Q30.8248091191
95-th percentile1.549763334
Maximum1.753068328
Range3.478242874
Interquartile range (IQR)1.73103635

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-611513817.8
Kurtosis-1.215357192
Mean-1.635286026e-09
Median Absolute Deviation (MAD)0.8544047177
Skewness-0.0163019027
Sum-8.176430129e-07
Variance1.000000002
2020-08-25T00:43:47.375169image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.584958255310.2%
 
-0.67318332210.2%
 
1.30530834210.2%
 
-1.56898844210.2%
 
0.827463388410.2%
 
-0.352391868810.2%
 
0.246905595110.2%
 
0.987624406810.2%
 
-0.552079975610.2%
 
0.0355633385510.2%
 
-0.648415684710.2%
 
0.380533218410.2%
 
1.2545620210.2%
 
0.0144094256710.2%
 
1.070972810.2%
 
-0.631350576910.2%
 
-0.338559120910.2%
 
1.58473801610.2%
 
-1.08426725910.2%
 
-0.307297259610.2%
 
1.72845101410.2%
 
-0.973971188110.2%
 
0.68785941610.2%
 
1.60424184810.2%
 
0.858503639710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72517454610.2%
 
-1.71154046110.2%
 
-1.70816743410.2%
 
-1.68639314210.2%
 
-1.67259514310.2%
 
-1.67112386210.2%
 
-1.65678846810.2%
 
-1.64943540110.2%
 
-1.64861023410.2%
 
-1.6355172410.2%
 
ValueCountFrequency (%) 
1.75306832810.2%
 
1.74648499510.2%
 
1.74035024610.2%
 
1.72845101410.2%
 
1.72383832910.2%
 
1.69829082510.2%
 
1.68816542610.2%
 
1.67241406410.2%
 
1.66170144110.2%
 
1.65374124110.2%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4686957001686096e-09
Minimum-1.681596755981445
Maximum1.7354241609573364
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:47.491937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.681596756
5-th percentile-1.5299891
Q1-0.860794276
median-0.04660507292
Q30.9312158525
95-th percentile1.511007297
Maximum1.735424161
Range3.417020917
Interquartile range (IQR)1.792010128

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)680876235.9
Kurtosis-1.253001026
Mean1.4686957e-09
Median Absolute Deviation (MAD)0.8981992379
Skewness0.005693001782
Sum7.343478501e-07
Variance1
2020-08-25T00:43:47.600130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.118530370310.2%
 
0.502307176610.2%
 
0.472985088810.2%
 
1.42251825310.2%
 
0.768576860410.2%
 
-0.734698414810.2%
 
0.717122495210.2%
 
-1.45183312910.2%
 
-0.0786549150910.2%
 
-0.763034403310.2%
 
1.56318247310.2%
 
1.25321614710.2%
 
0.839935839210.2%
 
-0.14242133510.2%
 
0.676966607610.2%
 
1.13939058810.2%
 
-1.17071390210.2%
 
1.04648661610.2%
 
-0.501343488710.2%
 
0.807008743310.2%
 
-1.46800470410.2%
 
0.956429958310.2%
 
1.08864378910.2%
 
-0.282903969310.2%
 
1.45388352910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68159675610.2%
 
-1.67602264910.2%
 
-1.67511415510.2%
 
-1.66436541110.2%
 
-1.66272914410.2%
 
-1.65841114510.2%
 
-1.6525186310.2%
 
-1.63141119510.2%
 
-1.63065648110.2%
 
-1.6268891110.2%
 
ValueCountFrequency (%) 
1.73542416110.2%
 
1.73314070710.2%
 
1.73168814210.2%
 
1.72856390510.2%
 
1.71997594810.2%
 
1.70292258310.2%
 
1.70039093510.2%
 
1.69906461210.2%
 
1.69491040710.2%
 
1.68538904210.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8091093390590915e-10
Minimum-2.5395545959472656
Maximum2.6820406913757324
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:43:47.721139image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.539554596
5-th percentile-1.581238902
Q1-0.6686113179
median-0.02416038979
Q30.6898130774
95-th percentile1.702165145
Maximum2.682040691
Range5.221595287
Interquartile range (IQR)1.358424395

Descriptive statistics

Standard deviation0.9999999934
Coefficient of variation (CV)2625285610
Kurtosis-0.4449234974
Mean3.809109339e-10
Median Absolute Deviation (MAD)0.676511283
Skewness0.06240266571
Sum1.90455467e-07
Variance0.9999999868
2020-08-25T00:43:47.828367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.40624737710.2%
 
-0.0969675928410.2%
 
0.359049260610.2%
 
1.41622364510.2%
 
1.12370574510.2%
 
-0.136313721510.2%
 
-1.05145418610.2%
 
-1.48895549810.2%
 
-0.0534992665110.2%
 
1.49466550410.2%
 
-1.2139376410.2%
 
-0.51010966310.2%
 
0.202085182110.2%
 
2.50138139710.2%
 
1.68624520310.2%
 
-0.569687008910.2%
 
0.340667992810.2%
 
0.470880210410.2%
 
-0.8587538610.2%
 
1.74094855810.2%
 
0.663445889910.2%
 
1.30541074310.2%
 
0.00829121004810.2%
 
-0.382864773310.2%
 
-0.0548041611910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.53955459610.2%
 
-2.53675150910.2%
 
-2.39054751410.2%
 
-2.22742319110.2%
 
-2.13157415410.2%
 
-2.06220459910.2%
 
-2.0540497310.2%
 
-2.00377845810.2%
 
-1.95704257510.2%
 
-1.90623927110.2%
 
ValueCountFrequency (%) 
2.68204069110.2%
 
2.59999370610.2%
 
2.50138139710.2%
 
2.25804781910.2%
 
2.2302033910.2%
 
2.23007202110.2%
 
2.08561420410.2%
 
2.05876231210.2%
 
2.00425124210.2%
 
1.96866226210.2%
 

Interactions

2020-08-25T00:42:43.651467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:43.956533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:44.094311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:44.233238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:44.375699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:44.517763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:44.661651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:44.802207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:44.941019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:45.080052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:45.219014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:45.363095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:45.504801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:45.643587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:45.782327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:45.920616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:46.062468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:46.204235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:46.342421image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:46.479012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:46.611147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:46.752442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:46.893235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:47.031956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:47.171907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:47.315847image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:47.468424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:47.607527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:47.747812image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:47.890149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:48.196279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:48.340944image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:48.480501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:48.619829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:48.770737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:48.910557image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:49.048605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:49.189127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:49.328503image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:49.487392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:49.616530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:49.756856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:49.903324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:50.040619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:50.178618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:50.321321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:50.457448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:50.592675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:50.728908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:50.870820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:51.008894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:51.150025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:51.287807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:51.426720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:51.565918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:51.703462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:51.841864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:51.981945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:52.116561image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:52.426305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:52.556909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:52.696711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:52.836925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:52.981278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:53.131407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:53.275779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:53.417677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:53.557231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:53.703836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:53.847488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:53.991231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:54.134513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:54.271508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:54.410726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:54.552817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:42:54.691282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:43:25.300758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:25.442322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:25.581181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:25.720878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:25.859201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:26.001312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:26.139144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:26.281563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:26.421914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:26.733375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:26.872790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:27.013331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:27.154092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:27.298575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:27.436960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:27.584705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:27.726282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:27.864863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:27.997292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:28.136524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:28.273734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:28.412553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:28.556240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:28.698147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:28.837396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:28.977592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:29.116583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:29.253700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:29.391038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:29.537434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:29.675956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:29.815126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:29.953140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:30.092947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:30.230999image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:30.369819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:30.512563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:30.651104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:30.946905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:31.086936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:31.222486image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:31.359723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:31.503119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:31.646932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:31.787483image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:31.934406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:32.081966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:32.221765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:32.361604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:32.505029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:32.646160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:32.784363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:32.925045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:33.069232image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:33.210796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:33.350657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:33.493879image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:33.644775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:33.787611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:33.926332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:34.068132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:34.207841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:34.347646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:34.491767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:34.638513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:34.790315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:34.927432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:35.241606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:35.381433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:35.524332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:35.666560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:35.805037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:35.944356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:36.086041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:36.224902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:36.363487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:36.502613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:36.642965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:36.773389image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:36.913674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:37.053323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:37.194541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:37.333380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:37.476102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:37.618421image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:37.759965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:37.896689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:38.037011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:38.183619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:38.324894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:38.462910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:38.603215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:38.745732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:38.885288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:39.024110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:39.170118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:39.472228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:39.612079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:39.748138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:39.875799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:40.002450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:40.132277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:40.262180image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:40.392988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:40.520575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:40.649817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:40.779205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:40.907066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:41.035851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:41.169245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:41.318356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:41.446539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:41.575438image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:41.705183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:41.832550image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:41.958696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:42.085843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:42.214904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:43:47.969031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:43:48.273018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:43:48.576759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:43:48.883455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:43:42.481588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:43:42.952186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
00.879588-1.357723-1.0687540.1807311.1426011.664761-1.230231-0.0476920.092338-1.260983-0.463896-1.2243560.099071-0.8315930.326895-0.283782-1.410128-0.9161761.418386-1.147522
11.0605140.998875-1.722118-0.190788-0.1485731.182189-1.2604011.036291-0.6446680.0734150.969637-0.7761860.776192-0.9792760.7995720.381766-1.5222410.110543-0.151520-1.542351
20.267069-0.8025061.6683570.790241-0.1565211.1342280.835343-0.7082361.3835261.451980-0.450597-0.7752611.3249691.3639990.715912-1.1994911.354100-0.280030-0.8117990.981290
3-0.1014200.238628-1.3304580.036474-0.576332-1.5239620.7611700.6107810.823798-1.3452460.9817010.9117281.2191860.1149290.739944-0.8285110.7261910.6648420.260850-0.064599
4-0.1999790.6207541.1001410.7973021.5566641.6690011.436959-0.1992341.0432511.532057-0.0846601.154166-0.1245361.340162-0.1858340.5826020.5273960.572801-1.2997210.960851
5-1.493864-0.4742711.2004200.5273321.545800-1.3917491.7735451.1542630.5309591.1611880.4231840.1416581.320876-0.0188870.5767501.043189-0.7509441.320438-1.0028250.055568
60.991586-0.479749-1.545226-0.0936511.5742240.270959-0.6239211.7161631.2314671.655496-1.6042800.127857-0.292923-0.605712-0.420995-1.7830031.3808750.075735-0.894664-0.609031
7-1.557755-0.7034781.5166450.8299000.987444-0.1951500.0534861.4537161.6417740.799198-0.342931-0.362378-0.6516930.0888181.3040590.220309-1.5232540.8171581.7285640.125466
8-0.7859840.7540570.743801-0.776917-1.523028-0.434735-0.6252821.210200-0.2235991.600924-1.728452-1.490116-0.5296461.4107801.2786450.1357141.0932411.698291-1.1900302.682041
9-0.763020-0.594416-0.7979570.879610-0.316592-0.779752-0.577697-0.267886-1.289879-0.690318-0.889953-1.0568761.3942521.238838-1.6616640.1544270.854173-1.0853750.8449480.149597

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
490-0.043968-0.404365-0.2166650.5355020.429079-1.316234-0.630181-0.3120550.5065210.075043-0.314448-1.110559-0.7402111.242368-0.6860301.032667-1.7945061.344488-0.0439330.384735
491-1.6620581.4414440.0564011.265767-1.343374-0.8277900.031451-0.3466740.8893040.0481310.478630-0.1899851.169517-0.3293760.704068-1.553244-1.6974290.821226-0.542566-0.010295
492-1.6520520.978639-1.2914511.6418470.306691-1.4633251.6596851.3252050.107302-0.898473-0.311743-1.561441-1.5378331.616808-1.537844-1.4011771.6784911.5567800.600976-0.349299
493-0.897530-1.0092621.4469691.223303-1.2397920.6416640.2603740.810463-0.757926-0.7072901.2526180.339467-0.5334520.486050-1.0953350.852401-0.724730-1.1326790.9637450.617633
494-1.5897020.9631150.5671311.7101660.184348-0.460803-1.2857501.1731831.195340-1.6219441.159224-1.3888310.942596-0.239361-1.385908-0.303268-0.070446-0.061176-0.1643020.674531
4951.3086640.652403-1.622951-1.159262-1.362222-0.7840831.5179210.5089490.973880-0.691820-1.195300-1.282770-0.716882-1.599154-1.060825-1.5885670.208215-1.486045-0.923651-1.852687
4961.127656-0.0897101.6492490.4137280.1993601.355134-1.5845380.2542451.090677-0.114512-1.7090400.1858890.1329690.165869-0.866985-1.6522261.1875050.094092-0.9403471.261112
4970.2366010.574187-0.8289480.541954-0.8973120.116769-1.0787430.541246-0.5985780.226354-1.5062130.634164-1.684462-0.0020621.424931-1.612734-1.0533261.536702-0.2829040.514743
4981.204868-0.7590860.560832-1.1986810.271898-0.356824-0.072207-0.546023-0.0503900.8308681.480182-0.8706961.4288140.7267000.916431-1.441176-0.8187561.4357391.0016901.416224
4991.618344-1.0380220.6984650.6508580.1545890.544390-1.597898-1.381237-0.992868-0.894650-0.1092640.7243880.228203-0.9007330.1229581.690457-0.4002930.8112350.951041-1.357574